Showing 4 open source projects for "patterns"

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  • 1
    The Julia Programming Language

    The Julia Programming Language

    High-level, high-performance dynamic language for technical computing

    Julia is a fast, open source high-performance dynamic language for technical computing. It can be used for data visualization and plotting, deep learning, machine learning, scientific computing, parallel computing and so much more. Having a high level syntax, Julia is easy to use for programmers of every level and background. Julia has more than 2,800 community-registered packages including various mathematical libraries, data manipulation tools, and packages for general purpose...
    Downloads: 3 This Week
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  • 2
    Open Model Zoo

    Open Model Zoo

    Pre-trained Deep Learning models and demos

    ...It includes hundreds of models covering object detection, classification, segmentation, pose estimation, speech recognition, text-to-speech, and more, many of which are already converted into formats optimized for inference on CPUs, GPUs, VPUs, and other accelerators supported by OpenVINO. In addition to model files, Open Model Zoo provides demo applications that show realistic usage patterns and help developers quickly prototype and understand inference pipelines in C++, Python, or via the OpenCV Graph API. Tools in the repository also help automate model downloads and other tasks, making it easier to incorporate these models into production systems or custom solutions.
    Downloads: 1 This Week
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  • 3
    fastai

    fastai

    Deep learning library

    ...It aims to do both things without substantial compromises in ease of use, flexibility, or performance. This is possible thanks to a carefully layered architecture, which expresses common underlying patterns of many deep learning and data processing techniques in terms of decoupled abstractions. These abstractions can be expressed concisely and clearly by leveraging the dynamism of the underlying Python language and the flexibility of the PyTorch library. fastai is organized around two main design goals: to be approachable and rapidly productive, while also being deeply hackable and configurable. ...
    Downloads: 0 This Week
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  • 4
    Learn_Deep_Learning_in_6_Weeks

    Learn_Deep_Learning_in_6_Weeks

    This is the Curriculum for "Learn Deep Learning in 6 Weeks"

    ...The plan also introduces practical considerations like GPU usage, checkpoints, and debugging training dynamics. It aims to give you enough breadth to recognize common patterns and enough depth to implement them on your own problems.
    Downloads: 0 This Week
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